Triple
T7416935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike and Mike |
E171151
|
entity |
| Predicate | typicalSegment |
P9638
|
FINISHED |
| Object | game analysis |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: game analysis | Statement: [Mike and Mike, typicalSegment, game analysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSegment Context triple: [Mike and Mike, typicalSegment, game analysis]
-
A.
typicalSegmentType
chosen
Indicates that something is classified as belonging to a usual or characteristic type of segment within a broader structure or sequence.
-
B.
notableSegmentType
Indicates that a particular segment or portion of something is classified as being of notable or special significance by its type.
-
C.
typicalSection
Indicates that one section is a standard, representative, or commonly occurring instance within a broader set or structure of sections.
-
D.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
E.
typicalChannel
Indicates the usual or most commonly used communication or distribution channel through which an interaction, message, or transaction typically occurs.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c7ae0c8190a8348d6223aeeecc |
completed | March 27, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.